What is a fundamental difference in the assumptions of maximum parsimony and maximum likelihood methods?

Maximum parsimony assumes equal rates of change for all characters, while maximum likelihood uses specific models of change.

Maximum likelihood is only applicable to molecular data.

Maximum parsimony requires a larger dataset than maximum likelihood.

Maximum likelihood assumes fewer changes than maximum parsimony.